CN103085817B - Stroke for vehicle rechargeable energy storage system is estimated - Google Patents
Stroke for vehicle rechargeable energy storage system is estimated Download PDFInfo
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- CN103085817B CN103085817B CN201210419369.7A CN201210419369A CN103085817B CN 103085817 B CN103085817 B CN 103085817B CN 201210419369 A CN201210419369 A CN 201210419369A CN 103085817 B CN103085817 B CN 103085817B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L50/00—Electric propulsion with power supplied within the vehicle
- B60L50/50—Electric propulsion with power supplied within the vehicle using propulsion power supplied by batteries or fuel cells
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W20/00—Control systems specially adapted for hybrid vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/60—Navigation input
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/60—Navigation input
- B60L2240/66—Ambient conditions
- B60L2240/662—Temperature
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/70—Interactions with external data bases, e.g. traffic centres
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/80—Time limits
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2250/00—Driver interactions
- B60L2250/14—Driver interactions by input of vehicle departure time
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2555/00—Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
- B60W2555/20—Ambient conditions, e.g. wind or rain
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/12—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to parameters of the vehicle itself, e.g. tyre models
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/72—Electric energy management in electromobility
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/14—Plug-in electric vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- Engineering & Computer Science (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Power Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Automation & Control Theory (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
Abstract
The present invention relates to the stroke for vehicle rechargeable energy storage system is estimated.Provide for estimating that there is rechargeable energy storage system(RESS)The method of the stroke of vehicle, system and vehicle.Sensor unit configuration becomes measurement about one or more input values of RESS.Processor is attached to described sensor unit, and is configured with described input value and determines that the utilisable energy of described RESS is how many, and obtains the time in one day.How much determine the estimation of described vehicle travel based on the time in described one day and described utilisable energy.
Description
Technical field
The disclosure generally relates to vehicular field, more particularly, to for estimating vehicle rechargeable energy storage system
(RESS)Stroke method and system.
Background technology
Some vehicles, particularly electric motor car and hybrid electric vehicle(Collectively referred to here in as electric motor car)There is rechargeable energy deposit
Storage system(RESS), such as battery.The stroke of the RESS mentioned by herein includes using RESS electricity in the vehicle in front of vehicle stopping
The distance of power wheeled(For example, mile or milimeter number).The stroke of electric motor car is extremely important to the driver of vehicle and passenger, special
It is not for there is no the electric motor car of standby internal combustion engine or electromotor.
Accordingly, it is desired to provide a kind of improved method for estimating electric motor car stroke.It is also expected to providing for this estimation
Improvement system, and provide the vehicle including this localization method and system.In addition, combining accompanying drawing and technical field above and the back of the body
Scape technology, can understand other desired characters and the characteristic of the present invention from detailed description below and claims.
Content of the invention
According to exemplary embodiment, there is provided one kind is used for estimating rechargeable energy storage system(RESS)Electric motor car
The method of the stroke of current drive cycle.Methods described includes obtaining time in one day for the described current drive cycle, determination
From the available amount of described RESS with by processor, how many institutes is estimated based on the time described one day and utilisable energy
State the stroke of vehicle.
According to another exemplary embodiment, there is provided one kind is used for estimating rechargeable energy storage system(RESS)Car
The system of the stroke of current drive cycle.Described system includes sensor unit and processor.Described sensor unit configuration
Become measurement about one or more input values of described RESS.Described processor is attached to described sensor unit, and is configured to:
Determine the available amount of described RESS using described input value;Time in obtaining one day;With based in described one day
Time and utilisable energy how much estimate the stroke of described RESS.
According to another exemplary embodiment, there is provided a kind of vehicle.Described vehicle includes drive system and estimating system.Institute
State drive system and include rechargeable energy storage system(RESS).Described estimating system is attached to described RESS, and is configured to
Current drive cycle estimation for vehicle is how many from RESS utilisable energy.Described estimating system includes sensor unit and process
Device.Described sensor unit configuration becomes measurement about one or more input values of described RESS.Described processor is attached to institute
State sensor unit, and be configured to:Determine the available amount of described RESS using described input value;In obtaining one day
Time;With the stroke how much estimating described RESS based on the time in described one day and utilisable energy.
The present invention provides following technical proposal.
Technical scheme 1. one kind has rechargeable energy storage system for estimation(RESS)Vehicle just current drive
The method of the stroke of circulation, methods described includes:
Obtain the time in one day for the described current drive cycle;
Determine from the available amount of described RESS;With
How much estimate the stroke of described vehicle by processor based on the time in described one day and described utilisable energy.
The method of technical scheme 2. such as technical scheme 1, also includes:
Measure the temperature outside described vehicle;
Wherein estimate that the step of the stroke of described vehicle is included based on energy available in the time in described one day, described RESS
The step to estimate the stroke of described vehicle for the temperature outside the how many and described vehicle of amount.
The method of technical scheme 3. such as technical scheme 1, also comprises the steps:
Determine the specified time interval corresponding to the time in described one day, when wherein said specified time interval includes multiple
Between one of interval, with respect to the other time interval in the plurality of time interval, each time interval is generally and corresponding
Temperature range is associated.
The method of technical scheme 4. such as technical scheme 3, wherein determines between the special time corresponding to the time in described one day
It is spaced or evening hours interval every including selection daylight hours.
The method of technical scheme 5. such as technical scheme 3, also comprises the steps:
The average energy that during driving cycle before calculating more than first, described vehicle uses is how many, more than described first it
During each of front driving cycle betides the described specified time interval in corresponding sky;
Wherein estimating the step of the stroke of described vehicle, to include utilisable energy based on described RESS how many and described first
Before multiple during driving cycles described vehicle using the average energy how much step to estimate the stroke of described vehicle.
The method of technical scheme 6. such as technical scheme 5, from institute during driving cycle before wherein calculating more than described first
The how many step of average energy stating RESS use comprises the steps:
The distance that during measuring driving cycle before more than described first, described vehicle travels;
Use from the gross energy of described RESS during determining driving cycle before more than described first;With
From institute during driving cycles before using calculating more than described first individual using described operating range and described gross energy
The average energy stating RESS use is how many.
The method of technical scheme 7. such as technical scheme 5, also comprises the steps:
Measure the temperature outside described vehicle;With
No matter from described RESS during time in one day for the described driving cycle, driving cycle before calculating more than second
The total average energy using is how many;
Wherein estimate that the step of the stroke of described RESS comprises the steps:
If described temperature is in the desired extent of described specified time interval, then based on described utilisable energy how many and
During driving cycle before more than described first from described RESS using average energy how much estimating the stroke of described vehicle;
With
If described temperature is not in the desired extent of described specified time interval, then how many based on described utilisable energy
During driving cycle before more than described second from described RESS using total average energy how much estimating described vehicle
Stroke.
Technical scheme 8. one kind has rechargeable energy storage system for estimation(RESS)Vehicle drive to current
The system of the stroke of circulation, described system includes:
RESS sensor unit, it is configured to measure the one or more input values about described RESS;With
Processor, it is attached to described RESS sensor unit, and is configured to:
Determine that using one or more of input values the utilisable energy of described RESS is how many;
Time in obtaining one day;With
How much estimate the stroke of described vehicle based on the time in described one day and utilisable energy.
The system of technical scheme 9. such as technical scheme 8, also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is further configured to many based on utilisable energy in the time in described one day, described RESS
To estimate the stroke of described vehicle with the temperature outside described vehicle less.
The system of technical scheme 10. such as technical scheme 8, wherein said processor is further configured to determine corresponding to institute
State the specified time interval of time in one day, wherein said specified time interval includes one of multiple time intervals, with respect to institute
State the other time interval in multiple time intervals, each time interval is generally associated with corresponding temperature range.
The system of technical scheme 11. such as technical scheme 10, wherein said specified time interval is from daylight hours interval and night
Between select in time interval.
The system of technical scheme 12. such as technical scheme 10, wherein said processor is further configured to:
How many from the average energy of described RESS use during calculating driving cycle before more than first, more than described first
During each in driving cycle betides the described specified time interval in corresponding sky before;And
Utilisable energy based on described RESS how many and described more than first before make from described RESS during driving cycles
With average energy how much to estimate the stroke of described vehicle.
The system of technical scheme 13. such as technical scheme 12, also includes:
Odometer sensor, its be configured to measure described vehicle during driving cycle before more than described first travels away from
From;
Wherein said processor is attached to described odometer sensor, and is further configured to:
Use from the gross energy of described RESS during determining driving cycle before more than described first;With
From institute during driving cycles before using calculating more than described first individual using described operating range and described gross energy
The average energy stating RESS use is how many.
The system of technical scheme 14. such as technical scheme 12, also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is attached to described temperature sensor, and is further configured to:
No matter from described RESS during time in one day for the described driving cycle, driving cycle before calculating more than second
The total average energy using is how many;
If described temperature is in the desired extent of described specified time interval, then based on described utilisable energy how many and
During driving cycle before more than described first from described RESS using average energy how much estimating the stroke of described vehicle;
With
If described temperature is not in the desired extent of described specified time interval, then how many based on described utilisable energy
During driving cycle before more than described second from described RESS using total average energy how much estimating described vehicle
Stroke.
A kind of vehicle of technical scheme 15., including:
Drive system, it includes rechargeable energy storage system(RESS);With
Estimating system, it is attached to described RESS, and is configured to estimate the stroke of described vehicle, described estimating system bag
Include:
Sensor unit, it is configured to measure the one or more input values about described RESS;With
Processor, it is attached to described sensor unit, and is configured to:
Determine that using one or more of input values the utilisable energy of described RESS is how many;
Time in obtaining one day;With
How much estimate the stroke of described vehicle based on the time in described one day and utilisable energy.
The vehicle of technical scheme 16. such as technical scheme 15, wherein said estimating system also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is further configured to based on the time in described one day, described utilisable energy be how many and institute
State temperature outside the vehicle stroke to estimate described vehicle.
The vehicle of technical scheme 17. such as technical scheme 15, wherein said processor is further configured to determine corresponding to institute
State the specified time interval of time in one day, wherein said specified time interval includes one of multiple time intervals, with respect to institute
State the other time interval in multiple time intervals, each time interval is generally associated with corresponding temperature range.
The vehicle of technical scheme 18. such as technical scheme 17, wherein said processor is further configured to:
How many from the average energy of described RESS use during calculating driving cycle before more than first, more than described first
During each in driving cycle betides the described specified time interval in corresponding sky before;And
Based on described utilisable energy how many and described more than first before during driving cycles from described RESS use flat
All amount are estimating the stroke of described vehicle.
The vehicle of technical scheme 19. such as technical scheme 18, wherein said estimating system also includes:
Odometer sensor, its be configured to measure described vehicle during driving cycle before more than described first travels away from
From;
Wherein said processor is attached to described odometer sensor, and is further configured to:
Use from the gross energy of described RESS during determining driving cycle before more than described first;With
From institute during driving cycles before using calculating more than described first individual using described operating range and described gross energy
The average energy stating RESS use is how many.
The vehicle of technical scheme 20. such as technical scheme 18, wherein said estimating system also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is further configured to:
No matter from described RESS during time in one day for the described driving cycle, driving cycle before calculating more than second
The total average energy using is how many;
If described temperature is in the desired extent of described specified time interval, then based on the time in described one day,
Described utilisable energy how many and more than described first before during driving cycles from described RESS using average energy how much come
Estimate the stroke of described vehicle;With
If described temperature is not in the desired extent of described specified time interval, then based in described one day when
Between, utilisable energy described in described RESS how many and described more than second before the conjunction that uses from described RESS during driving cycles
How many meter average energies estimates the stroke of described vehicle.
Brief description
The disclosure is described below in conjunction with the accompanying drawings, wherein identical labelling refers to identical element, wherein:
Fig. 1 is according to exemplary embodiment, inclusion rechargeable energy storage system(RESS)With for estimating vehicle
The functional block diagram of the vehicle of the system of the stroke of current drive cycle;
Fig. 2 is for estimating the vehicle with RESS according to exemplary embodiment(The vehicle of such as Fig. 1)Stroke
The flow chart of process;With
Fig. 3 be according to exemplary embodiment for produce be used in Fig. 2 estimation vehicle travel during in front energy
The flow chart of the process of amount use value.
Specific embodiment
Detailed description below is substantially merely exemplary, is not intended to limit the disclosure or its application and uses.Separately
Outward, it is not intended to define by any theory present in background above or detailed description below.
Fig. 1 shows vehicle 100 or automobile according to exemplary embodiment.As described in more detail below, vehicle 100
It is configured to estimate the row of vehicle 100 based on the estimator that current igniting circulates in dump energy in intraday time and RESS
Journey.
Vehicle 100 includes chassis 112,114, four wheels 116 of vehicle body and electronic control system 118.Vehicle body 114 is arranged in
On chassis 112, and base closed other assemblies of vehicle 100.Vehicle body 114 and chassis 112 can connect formation vehicle frame.Wheel
116 each be rotatably coupled to chassis 112 near the corresponding corner of vehicle body 112.
Vehicle 100 can be any one in many different types of automobiles, for example, car, station wagon, truck, motion
Type vehicle(SUV), and can be two-wheel drive(2WD)(That is, rear wheel drive or front-wheel drive), four-wheel drive(4WD)Or
A11wheel drive(AWD).Vehicle 100 also includes any one or combination in many different types of electric propulsion systems, for example,
Gasoline or diesel fuel internal combustion engine, " flexible fuel vehicles "(FFV)Electromotor(That is, using the mixture of gasoline and ethanol), gas
Body compound(For example, hydrogen and/or natural gas)Engine fuel, burning/motor hybrid engine and motor.
In shown in Fig. 1 a exemplary embodiment, vehicle 100 is hybrid electric vehicle(HEV), also include actuator group
Part 120, above-mentioned RESS 122, stroke estimating system 124, power inverter assembly(Or inverter 126)With radiator 128.Dissipate
Hot device 128 is externally attached to vehicle frame at it, although not being shown specifically, including multiple cooling ducts, wherein contains cooling fluid
(That is, coolant), such as water and/or ethylene glycol(That is, " antifreezing agent "), it is coupled to internal combustion engine 130 and inverter 126.
Actuator 120 includes being arranged at least one propulsion system 129 of driving moment 116 on chassis 112.Specifically
Ground, as shown in fig. 1, actuator 120 includes internal combustion engine 130 and motor generator(Or motor)132.As this area skill
Art personnel understood, the variator that motor 132 is included therein, although and not shown, also include stator module(Including leading
Electric coil), rotor assembly(Including ferromagnetic core), and flow direction and flow out the cooling fluid of radiator 128 or coolant.Motor
Stator module in 132 and/or rotor assembly may include multiple electromagnetic poles, as is known.
Again referring to Fig. 1, internal combustion engine 130 and motor 132 be integrated so that one or both of which pass through one or more
Power transmission shaft 134 is mechanically coupled at least a portion wheel 116.In one embodiment, vehicle 100 is " cascaded H EV ", wherein
Internal combustion engine 130 is not attached directly to variator, but is attached to electromotor(Not shown), for motor 132 energy supply.Another
In one embodiment, vehicle 100 is " HEV in parallel ", and wherein internal combustion engine 130 passes through for example to make the rotor of motor 132 rotatably
It is attached to the power transmission shaft of internal combustion engine 130 and be attached directly to variator.In another embodiment, vehicle 100 includes pure electric vehicle,
There is no internal combustion engine.
RESS 122 is arranged on chassis 112, and is electrically connected to inverter 126.RESS 122 preferably includes there is one group
The rechargeable battery of battery unit.In one embodiment, RESS 122 includes ferric phosphate lithium cell, such as nano phosphate
Lithium ion battery.RESS 122, inverter 126 provide the drive system of propulsion vehicle 100 together with propulsion system 129.RESS
122 stroke is estimated by stroke estimating system 124, as described below.
As shown in fig. 1, stroke estimating system 124 includes clock 140, sensor array 142 and computer system 146.
Although in addition, so not illustrating, stroke estimating system 124(And/or one or more part)Can be with Electronic Control system
System 118 integrates, and may also include one or more power supplys.In one embodiment, stroke estimating system 124 is vehicle
A part for 100 RESS control module.
Then clock 140 obtains or determines the current drive cycle of vehicle 100 time in one day.Preferably, described
Time in one day and vehicle current drive cycle(Herein also referred to as ignition cycle)The time starting in one day.In a reality
Apply in example, clock 140 provides the information about the time in one day to computer system 146, process and be used in estimate currently
In the stroke of vehicle 122 during driving cycle.In other embodiments, clock 140 can be a part for computer system 146
And/or can be a part for one or more of the other system of vehicle 100.In other other embodiments, in described one day
Time can transfer to be obtained by the clock that is arranged in outside vehicle, for example pass through wireless network(For example pass through satellite or Cellular Networks
Network)A part for the remote server communicating with vehicle 100.
Sensor array 142 includes one or more temperature sensors 148, one or more RESS sensor 150 and
Individual or multiple odometer sensors 152.Ambient temperature outside one or more of temperature sensor 148 measuring vehicles.One
In individual embodiment, ambient temperature is arranged on the outer surface of vehicle 100(The ceiling of such as vehicle 100)Above or the most nearby.Temperature passes
Sensor 148 provides signal and/or the information about measurement to computer system 146, process and be used in estimate that vehicle 122 is worked as
In the stroke of front driving cycle.
One or more of RESS sensors 150 be preferably placed in RESS 122 the most nearby(Preferably in RESS122
Or near).RESS sensor 150 measures one or more input values of electricity about RESS 122 or capability state(For example,
The electric current of RESS 122, voltage or impedance).RESS sensor 150 to computer system 146 provide about measurement signal and/
Or information, to process and to be used in the stroke estimating vehicle 122 current drive cycle.
The distance that during one or more of odometer sensors 152 measurement driving cycles, vehicle 100 travels.Show at one
In example, odometer sensor 152 includes the mileometer for vehicle 100.One or more of odometer sensor 152 is to computer
System 146 provides the signal and/or information about measuring, process and be used in calculate energy using in meansigma methodss, finally uses
In the stroke estimating vehicle 122 postorder driving cycle.
Computer system 146 is attached to clock 140, sensor array 142 and RESS 122.In certain embodiments, count
Calculation machine system 146 is also coupled to electronic control system 118.Computer system 146 utilizes data and information from clock 140
(Including the time in one day for vehicle 100 current drive cycle)With the measured value from sensor array 142(Including environment temperature
Angle value, the mileage of vehicle 100 and the input value about RESS 122)Estimate the stroke of vehicle 122 current drive cycle.Excellent
Select in embodiment, computer system 146 execution is according to the step of the process 200,300 further describing below with reference to Fig. 2 and Fig. 3
These functions.
In certain embodiments, computer system 146 may also include one or more sensors 148,150,152, clock
140, electronic control system 118 and/or one part, and/or one or more of the other device.In addition, it should be appreciated that, computer
System 146 may also differ from embodiment shown in Fig. 1.For example, computer system 146 may be coupled to or otherwise utilizes one
Other control systems not shown in individual or multiple remote computer system and/or Fig. 1.
In the embodiment shown, computer system 146 includes processor 154, internal memory 156, interface 158, storage device 160
With bus 162.Processor 154 executes the calculating of computer system 146 and control function, it may include any type of processor or
Multiple processors, single IC for both such as microprocessor or cooperation with complete processing unit function arbitrarily suitably several
The IC apparatus of amount and/or circuit board.During the operation, processor 154 execution is included in one or more in internal memory 156
Program 164, the overall operation of such control computer system 146 and stroke estimating system 124, preferably executing following processes
In step, the step of the process 200,300 for example further describing with reference to Fig. 2 and Fig. 3.
Internal memory 156 can be any type of suitable internal memory.This may include various types of DRAM (Dynamic Random Access Memory)
(DRAM)(Such as SDRAM), various types of static state RAM(SRAM)And various types of Nonvolatile memory(PROM, EPROM
And flash memory).In some examples, internal memory 156 be located at and/or be co-located at processor 154 identical computer chip on.
In a preferred embodiment, based on the driving cycle before different time interim vehicle 100 in a day, internal memory
Multiple Energy Accumulator 166,168,170 that 156 storage said procedures 164 use together with the energy from multiple RESS 122.
With other time interval compared with, each time interval described both corresponds to related to relative temperature range different time in a day
Interval.
In the embodiment shown, first accumulator 166 is followed the tracks of and is stored the vehicle 100 of daylight hours interim generation
Recently the value that in driving cycle, the energy of RESS 122 uses.Second accumulator 168 is followed the tracks of and is stored evening hours interim
The value that in the driving cycle recently of vehicle 100 occurring, the energy of RESS 122 uses.3rd accumulator 170 is followed the tracks of and is stored car
The value that in 100 driving cycle recently, the energy of RESS 122 uses, but regardless of these driving cycles occur intraday
Time.Each accumulator 166,168,170 preferably includes and is stored in the related average energy of corresponding time interval in internal memory 156
Amount use value and temperature value(Or the scope of temperature value).
In a this kind of example, the first accumulator 166 is included 10:00 AM and 10:Start recently between 00 PM
The meansigma methodss that in driving cycle, the energy of RESS 122 uses(Or it is used in the data calculating in meansigma methodss), and the second accumulator
168 are included 10:00 PM and 10:This kind of value in the driving cycle starting between 00 AM.Equally in this example, the 3rd tires out
Plus device 170 includes total meansigma methodss that the energy of RESS 122 in driving cycle recently uses(Or it is used in the number calculating meansigma methodss
According to), but regardless of driving cycle time started in one day.Related to each time interval and/or accumulator is intraday specific
Temporally variableization.Similarly, the variable amounts of accumulator and time interval.For example, in one embodiment, in one day
Each hour or intraday each two time period etc. can use single accumulator.
Bus 162 is used for transmission procedure, data, state and other information between the different parts of computer system 146
Or signal.In one embodiment, bus 162 can be a part for the Vehicle communications bus of vehicle 100.Bus 162 can be for even
Connect any suitable physical or the logic device of computer system and part.This include, but not limited to direct rigid line connection, optical fiber,
Infrared and wireless bus technology.During the operation, program 164 is stored in internal memory 156 and is executed by processor 154.
Interface 158 allows to the communication of computer system 146, such as from system driver and/or another computer system,
And can be implemented using any suitable method and apparatus.It may include the one or more nets with other systems or component communication
Network interface.Interface 158 may also include the one or more network interfaces with technician's communication and/or is connected to storage device(For example
Storage device 160)One or more memory interfaces.
Storage device 160 can be the storage device of any suitable type, and including direct access storage device, such as hard disk drives
Dynamic device, flash memory system, floppy disk and CD drive.In one exemplary embodiment, storage device 160 includes program
Product, internal memory 156 can receive one or more processes of the execution disclosure from this program product(The process of such as Fig. 2 and Fig. 3
200th, 300 step)One or more embodiments program 164, be described further below.In another exemplary embodiment
In, described program product can be stored directly in internal memory 156 and/or disk(For example, disk 172)In or by internal memory 156 and/or disk(Example
As disk 172)Otherwise access, as described below.
Although it should be clear that this exemplary embodiment is described in the context of full function computer system, this
The technical staff in field is it will be recognized that the mechanism of the disclosure can be by one or more class for storing its program and instruction
The non-transitory computer-readable signal bearing medium of type is distributed as program product and implements described distribution, described bearing medium example
As for carrying program with containing the non-transitory computer-readable medium of computer instruction being stored therein, being used for causing calculating
Machine processor(Such as processor 154)Implement and configuration processor.This program product can take many forms, no matter for implementing
The particular type of the computer-readable signal bearing medium of its distribution, the disclosure all can similarly be applied.Signal bearing medium
Example includes:Recordable media(Such as floppy disk, hard disk drive, RAM (random access memory) card and CD)And transmission medium(Such as digital simulation
Communication linkage).Similarly can be clear, computer system 146 may also differ from the embodiment shown in Fig. 1, for example, department of computer science
System 146 may be coupled to or otherwise utilize one or more remote computer systems and/or other control system.
Fig. 2 is the flow chart according to exemplary embodiment for estimating the process 200 of the stroke of vehicle.Process 200 base
Stroke in the time Estimate vehicle that present energy is how many and current drive cycle is in a day of RESS.This process 200 can be tied
The vehicle 100, RESS 122 and the stroke estimating system 124 that close Fig. 1 use.
As shown in Figure 2, process 200 includes the step obtaining the time in one day(Step 201).Time in described one day
Obtain preferably when the current drive cycle of vehicle starts.In one embodiment, the time in described one day is by the clock of Fig. 1
140 measurements, and it is supplied to the processor 154 of Fig. 1.In another embodiment, determined by the processor 154 of Fig. 1 at least in part
Time in one day.
Measurement Current Temperatures(Step 202).But this Current Temperatures includes outside vehicle ambient air temperature the most nearby.
Described Current Temperatures are preferably by the Local or Remote temperature sensor measurement not affected by the unwanted energy.This Current Temperatures can
Measured by the temperature sensor 148 of Fig. 1, and be supplied to the processor 154 of Fig. 1.
In addition, determining the available amount of RESS(Step 204).The available amount of RESS preferably passes through Fig. 1's
Processor 154 inputs to calculate using the RESS being measured by one or more RESS sensors 150 of Fig. 1.In an embodiment
In, the available amount of RESS is determined using the energy capacity of RESS and the electricity percentage status of RESS, for example, use
The entitled Electrical Vehicle Range Prediction being submitted to for 8th by August in 2011 commonly assigned common not
Certainly U.S. Patent application No. 13/205, the technology disclosed in 393, the entire disclosure of which is incorporated herein by herein.
Carry out the determination corresponding about the time in step 201 one day of which time interval(Step 206).At one
In embodiment, time in described one day correspond to one day in one of multiple time intervals, compared with other time interval,
Each time interval is associated with corresponding temperature range.Specifically, the plurality of time interval includes at least first relatively
Relatively warm time interval and at least second relatively cool time interval.
In one embodiment, the time interval of step 206 two possible general selection of time, i.e. daytime from one day
(Or it is relatively warm)Time interval and night(Or it is relatively cold)Time interval.In one example, daytime is spaced in 10:00
AM and 10:Between 00 PM, night is spaced in 10:00 PM and 10:Between 00 AM.Described specified time interval alterable.Similar
Ground, the variable amounts of time interval.For example, in one embodiment, it is each hour or in a day during each two in a day
Between section etc. can use Fig. 1 internal memory 156 independent accumulator.
If the current time in determining a day in step 206 corresponds to first(Daytime or relatively warm)Between the time
Every, then this process is carried out along the first branch 207.Specifically, it is very first time interval acquiring mean temperature(Step 208).
The mean temperature of step 208 is preferably obtained by the first accumulator 166 of the internal memory 156 from Fig. 1 for the processor 154 of Fig. 1.This is average
Temperature includes the mean temperature of the external air temperature for the most recent driving cycle occurring in the interim very first time, example
As average temperature.
For example, it is spaced apart 10 in the very first time:00 AM and 10:In an embodiment between 00 PM, mean temperature can
Including 10:00 AM and 10:The average outside air temperature of the most recent driving cycle starting between 00 PM.This at one
In embodiment, 10:00 AM and 10:Between 00 PM occur all driving cycles be included in this average in, if this
Driving cycle occurred in the predetermined number of days from current date(For example, past 30 days)Interior.However, it is described in other embodiments
Predetermined number of days can be different.In addition, in certain embodiments, it is also possible to use the different measuring of " most recent " driving cycle.
Then carry out whether consistent with the mean temperature of step 208 determination of the Current Temperatures of step 202(Step 210).
If the Current Temperatures of step 202 are in the certain limit of the value related to the mean temperature of step 208, then determine step
202 Current Temperatures are consistent with described mean temperature.In one such embodiment, if the Current Temperatures of step 202 and step
When difference between rapid 208 mean temperature is less than pre-determined amount, the Current Temperatures of step 202 are confirmed as flat with step 208
All temperature are consistent.In one such embodiment, this pre-determined amount is equal to 10 degrees Celsius.However, in other embodiments, this is pre-
Quantitative values alterable, and/or can be using other threshold values(For example, the percentage threshold of difference)And/or standard.
If it is determined that the Current Temperatures of step 202 are consistent with the mean temperature of step 208, then when obtaining or determining first
Between interval average energy consumption value(Step 212).This average energy consumption value includes it of interim very first time generation
The meansigma methodss of the energy expenditure of per unit distance that vehicle uses in front most recent driving cycle(For example, every mile of kilowatt hour or
The every km of kilowatt hour).Calculating very first time interval is shown in Fig. 3(And other interval)Average energy consumption value process,
It is further described with reference to an exemplary embodiment.
Similar to the above, " most recent " driving cycle may include from current predetermined number of days on date(30 for example passing by
My god)Interior driving cycle, but in other embodiments can be different.In one embodiment(For example further with reference to Fig. 3
The embodiment of description), during driving cycle before, the average energy consumption value of step 212 is first by the processor 154 of Fig. 1
Calculate and the first accumulator 166 of the internal memory 156 from Fig. 1 obtains in current drive cycle.In another embodiment, current
During driving cycle, the average energy consumption value of step 212 can be based in current drive cycle from Fig. 1 by the processor 154 of Fig. 1
Internal memory 156 the information that obtains of the first accumulator 166 calculating.
Then estimate the stroke of vehicle(Step 214).As described above, as it is used herein, the stroke of vehicle include pre-
Meter exhausts enough energy propulsion vehicle 100 in RESS and cuts out or using another power source propulsion vehicle(For example standby is pneumatic
Electromotor)The distance that can be travelled based on RESS power of vehicle in front.The trip preferably uses step 204 by processor 154
The average energy consumption value at the very first time interval of amount and step 212 is estimating.Specifically, the energy of step 204 is many
Few average energy consumption value preferably divided by step 212, is based on RESS to calculate the vehicle in front that cannot reoffer power in RESS
Power is expected the estimated distance that can travel.The trip is provided to driver(For example, in the display screen of operator's seat of vehicle
On), to allow driver correspondingly to make arrangements, for example, charged to RESS before travelling longer than the distance estimating stroke.
Now turn to step 210 if it is determined that the Current Temperatures of step 202 and the mean temperature of step 208 are inconsistent, that
Obtain total average energy consumption value(Step 216).This total average energy consumption value includes driving in most recent before to be followed
The per unit distance that during ring, vehicle uses(For example, mile or km)Energy expenditure meansigma methodss, no matter driving cycle sends out
The raw time in one day.This total average energy consumption value is preferably stored up in the 3rd accumulator 170 in the internal memory 156 of Fig. 1.
Show the process calculating total average energy consumption value in Fig. 3, be further described with reference to an exemplary embodiment.
Similar to the above, " most recent " driving cycle may include the predetermined number of days from current date(30 for example passing by
My god)Interior driving cycle, but in other embodiments can be different.In one embodiment(For example further with reference to Fig. 3
The embodiment of description), during driving cycle before, total average energy consumption value of step 216 is in advance by the process of Fig. 1
Device 154 calculates, and the first accumulator 166 of the internal memory 156 from Fig. 1 obtains in current driving cycle.In another embodiment
In, during current drive cycle, total average energy consumption value of step 216 can be based on by the processor 154 of Fig. 1 works as forerunner
The information obtaining from first accumulator 166 of the internal memory 156 of Fig. 1 in dynamic circulation calculates.
Then this process is carried out to above-mentioned steps 214, but the total average energy consumption value using step 216.Specifically
Ground, the trip is preferably come using the amount of step 204 and total average energy consumption value of step 216 by processor 154
Estimate.Total average energy consumption value preferably divided by step 216 for the amount of step 204, stops it to calculate in vehicle
Vehicle in front is expected the estimated distance that can travel based on RESS power.As described above, the trip is provided to driver(Example
As on the display screen of operator's seat of vehicle), to allow driver correspondingly to make arrangements, for example, travelling longer than estimation stroke
Distance before to RESS charge.
Now turn to step 206 if it is determined that the time working as in the previous day corresponds to second(Night or colder)Between the time
Every, then described process is carried out along the second branch 217.Specifically, it is that the second time interval obtains mean temperature(Step 218).
The mean temperature of step 218 is preferably obtained by the second accumulator 168 of the internal memory 156 from Fig. 1 for the processor 154 of Fig. 1.This is average
Temperature includes the mean temperature of the portion's air themperature outside for the most recent driving cycle occurring during the second time interval, example
As average temperature.
For example, it is 10 in the second time interval:00 PM and 10:In an embodiment between 00 AM, mean temperature
May include 10:00 PM and 10:The average external air themperature of the most recent driving cycle starting between 00 AM.One this
Plant in embodiment, 10:00 PM and 10:Between 00 AM occur all driving cycles be included in this average in, if this
Plant driving cycle to occur in the predetermined number of days from current date(For example, past 30 days)Interior.However, institute in other embodiments
Stating predetermined number of days can be different.In addition, in certain embodiments, it is also possible to use the different measuring of " most recent " driving cycle.
Then carry out whether consistent with the mean temperature of step 218 determination of the Current Temperatures of step 202(Step 220).
If the Current Temperatures of step 202 are in the certain limit of the value related to described mean temperature, then determine working as of step 202
Front temperature is consistent with the mean temperature of step 218.In one such embodiment, if the Current Temperatures of step 202 and step
When difference between 218 mean temperature is less than predetermined number of degrees with respect, the Current Temperatures of step 202 are confirmed as average with step 218
Temperature is consistent.In one such embodiment, this predetermined number of degrees with respect is equal to 10 degrees Celsius.However, in other embodiments, this makes a reservation for
Number of degrees alterable, and/or can be using other threshold values(For example, the percentage threshold of difference)And/or standard.
If it is determined that the Current Temperatures of step 202 are consistent with the mean temperature of step 218, then when obtaining or determining second
Between interval average energy consumption value(Step 222).This average energy consumption value include occurring during the second time interval it
The per unit distance that in front most recent driving cycle, RESS uses(For example, mile or km)Energy expenditure meansigma methodss.Fig. 3
In show calculate the second time interval average energy consumption value process, make into one with reference to an exemplary embodiment
Step description.
Similar to the above, " most recent " driving cycle may include the predetermined number of days from current date(30 for example passing by
My god)Interior driving cycle, but in other embodiments can be different.In one embodiment(For example further with reference to Fig. 3
The embodiment of description), during driving cycle before, the average energy consumption value of step 222 is in advance by the processor of Fig. 1
154 calculate and in current drive cycle the second accumulator 168 of the internal memory 156 from Fig. 1 obtain.In another embodiment, exist
During current drive cycle, the average energy consumption value of step 222 can be based in current drive cycle by the processor 154 of Fig. 1
The information obtaining from second accumulator 168 of the internal memory 156 of Fig. 1 to calculate.
Then described process is carried out to above-mentioned steps 214, using the average energy consumption of the second time interval of step 222
Value.Specifically, the trip preferably uses the amount of step 204 and the average energy consumption value of step 222 by processor 154
To estimate.The average energy consumption value preferably divided by step 222 for the amount of step 204, to calculate before vehicle stops
Vehicle is expected the estimated distance that can travel based on RESS power.As described above, the trip is provided to driver(For example,
On the display screen of operator's seat of vehicle), to allow driver correspondingly to make arrangements, for example travel longer than estimate stroke away from
Charge to RESS from before.
Now turn to step 220 if it is determined that the Current Temperatures of step 202 and the mean temperature of step 218 are inconsistent, that
Described process is carried out to above-mentioned steps 216, obtains total average energy consumption value.As described above, this total average energy disappears
Consumption value includes the meansigma methodss of the energy expenditure of per unit distance that vehicle uses during most recent driving cycle before(For example,
Every mile of kilowatt hour or the every km of kilowatt hour), no matter there is the time in one day in driving cycle.
Then this process is carried out to above-mentioned steps 214, but the total average energy consumption value using step 216.Specifically
Ground, the trip is preferably come using the amount of step 204 and total average energy consumption value of step 216 by processor 154
Estimate.Total average energy consumption value preferably divided by step 216 for the amount of step 204, stops it to calculate in vehicle
Vehicle in front is expected the estimated distance that can travel based on RESS power.As described above, the trip is provided to driver(Example
As on the display screen of operator's seat of vehicle), to allow driver correspondingly to make arrangements, for example, travelling longer than estimation stroke
Distance before to RESS charge.
The process 200 above in conjunction with three accumulator descriptions, that is,:I () represents first accumulator at very first time interval,
(ii) represent that the second accumulator of the second time interval and (iii) represent that All Time is spaced the 3rd being combined together and adds up
Device.Similar to the above, other time interval and accumulator, the such as more concrete interval in corresponding to a day can be used(Example
As being incremented by per hour, being every two hours incremented by etc.).In this case, it will the extra step estimated using the stroke of step 214
The branch of rapid and process 200.
Fig. 3 be according to exemplary embodiment for produce in Fig. 2 process 200 estimate stroke in used before energy
Flow chart using the process 300 of meansigma methodss.Specifically, this process 300 is used for calculating the step 208 of Fig. 2 and 218 average temperature
The average energy consumption value of the step 212 of angle value and Fig. 2,216 and 222.This process 300 preferably refers in Fig. 2 process 200
Current drive cycle before multiple driving cycles on execute.
In the embodiment shown, once the propulsion system of vehicle works, described process 300 begins to(Step 302).Measurement
The distance that vehicle travels(Step 304).Preferably, in whole driving cycle, the distance of traveling by Fig. 1 one or more in
Journey sensor 152 measures, and is supplied to the processor 154 of Fig. 1.
In addition, the energy consumption of measurement RESS(Step 306).Preferably, in whole driving cycle, described energy expenditure
Amount is measured by one or more RESS sensors 150 of Fig. 1, and is being supplied to the processor 154 of Fig. 1, and/or RESS data
And/or input is supplied to the processor 154 of Fig. 1 by the RESS sensor 150 of Fig. 1, for use in the whole driving cycle of calculating
Energy consumption.In a preferred embodiment, the amount of RESS is left using current sensor measurement during the operation.
Temperature also outside measuring vehicle(Step 308).But this temperature preferably includes outside vehicle environment on hand
Air themperature.Preferably, in whole driving cycle, this temperature is measured by one or more temperature sensors 148 of Fig. 1, and
It is supplied to the processor 154 of Fig. 1.
No matter the time in one day, calculating the meansigma methodss of every mile of energy expenditure(Step 310).In addition, no matter one
Time in it, calculate mean temperature(Step 311).In a preferred embodiment, this mean temperature is included with respect to current
The mean temperature of the current elapsed time of driving cycle.Specifically, in one embodiment, the described elapsed time is marked as car
Start or propulsion system start working and vehicle close or propulsion system become not work between time.Step 310 and 311
Calculating preferably carried out by the processor 154 of Fig. 1.The energy expenditure meansigma methodss of step 310 and the average temperature value quilt of step 311
It is stored in internal memory(Step 312).Specifically, in a preferred embodiment, the energy expenditure meansigma methodss of step 310 and step 311
Average temperature value be stored in Fig. 1 the 3rd accumulator 170 of internal memory 156 in, as Fig. 2 mistake in subsequent vehicle driving cycle
By the total meansigma methodss obtaining after the processor 154 of Fig. 1 in the step 216 of journey 200.The temperature of the 3rd accumulator 170 and energy
Amount consumption figures preferably includes compound total meansigma methodss of the temperature of current drive cycle respectively from Fig. 3 and energy expenditure, its
The corresponding value calculating during using the driving cycle before other come average, but regardless of driving cycle occur in one day when
Between.
Time in obtaining one day(Step 314).Time in described one day obtains preferably when driving cycle starts.?
In one embodiment, this time in one day is measured by the clock 140 of Fig. 1, and is supplied to the processor 154 of Fig. 1.In another reality
Apply in example, this time in one day is determined by the processor 154 of Fig. 1 at least in part.
Carry out the determination corresponding about the time in step 314 one day of which time interval(Step 316).At one
In embodiment, the time interval of step 316(With process 300)Time interval corresponding to the process 200 of Fig. 2.Therefore, shown
In embodiment, this time interval includes at least first relatively warm time interval and at least second relatively cool time interval.With
Describe similar above in conjunction with Fig. 2, in one embodiment, from one day two possible described in general selection of time between the time
Every i.e. daytime(Or it is relatively warm)Time interval and night(Or it is relatively cold)Time interval.In one example, daylight hours
It is spaced in 10:00 AM and 10:Between 00 PM, evening hours are spaced in 10:00 PM and 10:Between 00 AM.However, with above-mentioned
Similar, described specified time interval and/or its variable amounts.
If the current time in determining a day in step 316 corresponds to second(Relatively cold)Time interval, then
Driving cycle during to the second time interval calculates the meansigma methodss of every mile of energy expenditure(Step 318).In addition, during to second
Between interim driving cycle calculate mean temperature(Step 320).Step 318 and 320 calculating preferably by the processor of Fig. 1
154 execution.The average temperature value of the energy expenditure meansigma methodss of step 318 and step 320 is stored in internal memory(Step 322).
Specifically, in a preferred embodiment, the energy expenditure meansigma methodss of step 318 and the average temperature value of step 320 are stored in Fig. 1
The second accumulator 168 of internal memory 156 in, as vehicle subsequent drive circulation in by Fig. 1 processor 154 respectively in the mistake of Fig. 2
The follow-up meansigma methodss obtaining in the step 218 of journey 200 and 222.The temperature of the second accumulator 168 and energy consumption values preferably include
Temperature respectively from the current drive cycle of Fig. 3 and the compound mean of energy expenditure, during it uses wherein said one day
Time correspond to the corresponding value calculating during driving cycle before other for second time interval come average.
On the contrary, if the current time in determining a day in step 316 corresponds to first(Relatively warm)Time interval,
So the driving cycle of the interim very first time is calculated to the meansigma methodss of every mile of energy expenditure(Step 324).In addition, it is right
Driving cycle in the interim very first time calculates mean temperature(Step 326).Step 324 and 326 calculating preferably by Fig. 1
Processor 154 execute.The average temperature value of the energy expenditure meansigma methodss of step 324 and step 326 is stored in internal memory(Step
Rapid 328).Specifically, in a preferred embodiment, the energy expenditure meansigma methodss of step 324 and the average temperature value of step 326 are deposited
Storage, in the first accumulator 166 of the internal memory 156 of Fig. 1, is existed by Fig. 1 processor 154 respectively as in the circulation of vehicle subsequent drive
The follow-up meansigma methodss obtaining in the step 208 of process 200 of Fig. 2 and 212.The temperature of the first accumulator 166 and energy consumption values
Preferably include the compound mean of the temperature of current drive cycle respectively from Fig. 3 and energy expenditure, it uses wherein said
Time in one day correspond to very first time interval other before driving cycle during the corresponding value that calculates come average.
As described above, the property of described time interval and/or variable amounts.For using two or more time interval
Embodiment, can calculate the mean temperature of each time interval using the other branch of the process 300 of Fig. 3 and step and energy uses
Value, and total mean temperature and the energy use value running through all time intervals.
It thus provides for estimating the method for the stroke of vehicle, system and the vehicle with RESS.For example, using work as
Time in the previous day carries out the potential of vehicle using meansigma methodss and changes together with the energy of time from a day of driving cycle before
Enter to estimate.
It should be clear that disclosed method, system and vehicle may differ from accompanying drawing and described herein those.For example,
Vehicle 100, stroke estimating system 124 and/or its various parts may differ from shown in Fig. 1 or are described in connection with.Additionally, it should
Clear, some steps of process 200,300 may differ from describing shown in Fig. 2 and Fig. 3 and/or above in conjunction with it.Similarly should
When clear, some steps of said process can simultaneously or with different from Fig. 2 and Fig. 3 and/or describe above in conjunction with it those are suitable
Sequence occurs.
Although presented at least one exemplary embodiment in detailed description above, but it should be clear that deposit
In substantial amounts of deformation.It is also apparent that described exemplary embodiment is only example, it is not intended to be restricted in any way this
Bright scope, application or structure.On the contrary, detailed description above will provide those skilled in the art with for showing described in implementing
The convenient road map of example property embodiment.It should be appreciated that without departing from the disclosure model being illustrated by claims and its equivalent
Various changes can be carried out to the function of element and arrangement in the case of enclosing.
Claims (14)
1. a kind of method with regard to the stroke of current drive cycle for the vehicle for estimation with rechargeable energy storage system, institute
The method of stating includes:
Obtain the time that described current drive cycle started in one day;
Determine the specified time interval corresponding to the time starting in described one day, wherein said specified time interval includes multiple
One of time interval, each time interval in the plurality of time interval is generally associated with corresponding temperature range;
Determine from the available amount of described rechargeable energy storage system;
The average energy that during calculating driving cycle before more than first, described vehicle uses is how many, the forerunner of more than described first
During each of dynamic circulation betides the described specified time interval in corresponding sky;With
And the forerunners of described more than first how many by the utilisable energy based on described rechargeable energy storage system for the processor
During dynamic circulation described vehicle using average energy estimate the stroke of described vehicle.
2. the method for claim 1, also includes:
Measure the temperature outside described vehicle;
Wherein estimate that the step of the stroke of described vehicle is included based on the time starting in described one day, described rechargeable energy
The step to estimate the stroke of described vehicle for the temperature outside the how many and described vehicle of utilisable energy in storage system.
3. the method for claim 1, wherein determines the specified time interval corresponding to the time starting in described one day
It is spaced including selecting daylight hours interval or evening hours.
4. the method for claim 1, from described rechargeable during driving cycle before wherein calculating more than described first
The step that the average energy of electrical energy storage system use is how many comprises the steps:
The distance that during measuring driving cycle before more than described first, described vehicle travels;
Use from the gross energy of described rechargeable energy storage system during determining driving cycle before more than described first;With
Using described operating range and described gross energy using driving cycles before calculating more than described first during from described can
The average energy recharging energy storage system use is how many.
5. the method for claim 1, also comprises the steps:
Measure the temperature outside described vehicle;With
No matter from described during the time that described current drive cycle started in one day, driving cycle before calculating more than second
Total average energy that rechargeable energy storage system uses is how many;
Wherein estimate that the step of the stroke of described rechargeable energy storage system comprises the steps:
If described temperature is in the desired extent of described specified time interval, then how many and described based on described utilisable energy
During driving cycle before more than first from described rechargeable energy storage system using average energy how much to estimate
State the stroke of vehicle;With
If described temperature is not in the desired extent of described specified time interval, then based on described utilisable energy is how many and institute
During driving cycle before stating more than second from described rechargeable energy storage system using total average energy how much come
Estimate the stroke of described vehicle.
6. a kind of for estimating the system with the vehicle of the rechargeable energy storage system stroke to current drive cycle, institute
The system of stating includes:
Rechargeable energy storage system sensor unit, it is configured to measure relevant described rechargeable energy storage system
One or more input values;With
Processor, it is attached to described rechargeable energy storage system sensor unit, and is configured to:
Determine that using one or more of input values the utilisable energy of described rechargeable energy storage system is how many;
Obtain the time that described current drive cycle started in one day;
Determine the specified time interval corresponding to the time started in described one day, when wherein said specified time interval includes multiple
Between one of interval, each time interval in the plurality of time interval is generally associated with corresponding temperature range;
It is how many from the average energy of described rechargeable energy storage system use during calculating driving cycle before more than first,
During each in driving cycle before more than described first betides the described specified time interval in corresponding sky;With
Based on described utilisable energy how many and described more than first before deposit from described rechargeable energy during driving cycles
Storage system using average energy how much estimating the stroke of described vehicle.
7. system as claimed in claim 6, also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is further configured to based on the time starting in described one day, described rechargeable energy stores system
The stroke to estimate described vehicle for the temperature outside the how many and described vehicle of utilisable energy in system.
8. system as claimed in claim 6, wherein said specified time interval is from daylight hours interval and evening hours interval
Middle selection.
9. system as claimed in claim 6, also includes:
Odometer sensor, the distance of its described vehicle traveling during being configured to measure driving cycle before more than described first;
Wherein said processor is attached to described odometer sensor, and is further configured to:
Use from the gross energy of described rechargeable energy storage system during determining driving cycle before more than described first;With
Using described operating range and described gross energy using driving cycles before calculating more than described first during from described can
The average energy recharging energy storage system use is how many.
10. system as claimed in claim 6, also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is attached to described temperature sensor, and is further configured to:
No matter from described during the time that described current drive cycle started in one day, driving cycle before calculating more than second
Total average energy that rechargeable energy storage system uses is how many;
If described temperature is in the desired extent of described specified time interval, then how many and described based on described utilisable energy
During driving cycle before more than first from described rechargeable energy storage system using average energy how much to estimate
State the stroke of vehicle;With
If described temperature is not in the desired extent of described specified time interval, then based on described utilisable energy is how many and institute
During driving cycle before stating more than second from described rechargeable energy storage system using total average energy how much come
Estimate the stroke of described vehicle.
A kind of 11. vehicles, including:
Drive system, it includes rechargeable energy storage system;With
Estimating system, it is attached to described rechargeable energy storage system, and is configured to estimate the stroke of described vehicle, described
Estimating system includes:
Sensor unit, it is configured to measure the one or more input values about described rechargeable energy storage system;With
Processor, it is attached to described sensor unit, and is configured to:
Determine that using one or more of input values the utilisable energy of described rechargeable energy storage system is how many;
Obtain the time that current drive cycle started in one day;
Determine the specified time interval corresponding to the time starting in described one day, wherein said specified time interval includes multiple
One of time interval, each time interval in the plurality of time interval is generally associated with corresponding temperature range;
It is how many from the average energy of described rechargeable energy storage system use during calculating driving cycle before more than first,
During each in driving cycle before more than described first betides the described specified time interval in corresponding sky;With
From described rechargeable energy storage system during based on driving cycle before described utilisable energy and described more than first
How many average energies using estimates the stroke of described vehicle.
12. vehicles as claimed in claim 11, wherein said estimating system also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is further configured to based on the time starting in described one day, described utilisable energy be how many and institute
State temperature outside the vehicle stroke to estimate described vehicle.
13. vehicles as claimed in claim 11, wherein said estimating system also includes:
Odometer sensor, the distance of its described vehicle traveling during being configured to measure driving cycle before more than described first;
Wherein said processor is attached to described odometer sensor, and is further configured to:
Use from the gross energy of described rechargeable energy storage system during determining driving cycle before more than described first;With
Using described operating range and described gross energy using driving cycles before calculating more than described first during from described can
The average energy recharging energy storage system use is how many.
14. vehicles as claimed in claim 11, wherein said estimating system also includes:
Temperature sensor, it is configured to measure the temperature outside described vehicle;
Wherein said processor is further configured to:
No matter the time starting in described one day, depositing from described rechargeable energy during driving cycle before calculating more than second
Total average energy that storage system uses is how many;
If described temperature is in the desired extent of described specified time interval, then based in described one day start time,
Use from described rechargeable energy storage system during the how many driving cycles before individual with more than described first of described utilisable energy
Average energy how much to estimate the stroke of described vehicle;With
If described temperature is not in the desired extent of described specified time interval, then based in described one day start when
Between, utilisable energy described in described rechargeable energy storage system how many and described more than second before during driving cycles from
Described rechargeable energy storage system using total average energy how much estimating the stroke of described vehicle.
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US13/284,490 US8831806B2 (en) | 2011-10-28 | 2011-10-28 | Range estimation for a rechargeable energy storage system of a vehicle |
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CN103085817B true CN103085817B (en) | 2017-03-01 |
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KR (2) | KR20130047595A (en) |
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Families Citing this family (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103273921B (en) * | 2013-06-14 | 2016-07-06 | 清华大学 | Electric automobile continual mileage method of estimation |
GB201311515D0 (en) * | 2013-06-27 | 2013-08-14 | Jaguar Land Rover Ltd | EV range prediction |
FR3018921B1 (en) | 2014-03-24 | 2017-07-07 | Renault Sas | METHOD FOR ESTIMATING THE AUTONOMY OF AN ELECTRIC OR HYBRID VEHICLE |
US9561804B2 (en) * | 2014-06-19 | 2017-02-07 | Ford Global Technologies, Llc | Distance to empty prediction with short term distance compensation |
US10118499B2 (en) * | 2014-09-23 | 2018-11-06 | Ford Global Technologies, Llc | Distance until charge prediction for vehicles |
CN104973068B (en) * | 2015-07-10 | 2017-08-25 | 重庆长安汽车股份有限公司 | The average kilometer method for estimating power consumption and device of pure electric vehicle pond group |
CN106553550A (en) * | 2015-09-25 | 2017-04-05 | 比亚迪股份有限公司 | The remaining mileage evaluation method of electric automobile, system and electric automobile |
FR3043873B1 (en) * | 2015-11-16 | 2019-05-31 | Bluebus | ELECTRIC VEHICLE EQUIPPED WITH A COMMUNICATION NETWORK. |
IT201800005878A1 (en) * | 2018-05-30 | 2019-11-30 | METHOD OF ESTIMATING THE REMAINING AUTONOMY OF AN ELECTRIC VEHICLE | |
US11067403B2 (en) * | 2018-07-05 | 2021-07-20 | GM Global Technology Operations LLC | Vehicle energy usage tracking |
US11023743B2 (en) * | 2019-07-03 | 2021-06-01 | Hitachi Automotive Systems, Ltd. | Object recognition by far infrared camera |
KR20210079569A (en) | 2019-12-20 | 2021-06-30 | 숭실대학교산학협력단 | Apparatus and method for predicting driving distance according to driving mode of electric vehicle |
CN114407680B (en) * | 2021-12-31 | 2024-03-01 | 柳州柳工挖掘机有限公司 | Estimation method for remaining driving mileage of electric excavator |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102089178A (en) * | 2008-07-08 | 2011-06-08 | 西门子公司 | Adapter device and method for charging a vehicle |
Family Cites Families (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH11280512A (en) * | 1998-03-30 | 1999-10-12 | Nissan Motor Co Ltd | Hybrid vehicle |
US6554088B2 (en) * | 1998-09-14 | 2003-04-29 | Paice Corporation | Hybrid vehicles |
KR20010096259A (en) | 2000-04-18 | 2001-11-07 | 김만식 | Remainder capacity expression device and method of electric vehicle battery |
JP3758140B2 (en) * | 2001-07-09 | 2006-03-22 | 日産自動車株式会社 | Information presentation device |
DE10302504A1 (en) * | 2003-01-23 | 2004-09-02 | Zf Friedrichshafen Ag | Electric vehicle range determination method in which parameters and information relating to the vehicle, route, environment and driving manner are input to a computer so that a range can be determined prior to or during a journey |
JP4853194B2 (en) * | 2006-09-15 | 2012-01-11 | 株式会社デンソー | Control information output device |
US7669676B2 (en) * | 2006-10-24 | 2010-03-02 | Larry D. Miller Trust | Hybrid propulsion system and method for its operation |
US8212527B2 (en) * | 2008-07-29 | 2012-07-03 | GM Global Technology Operations LLC | Method and apparatus for telematics-based vehicle no-start prognosis |
US20100094496A1 (en) | 2008-09-19 | 2010-04-15 | Barak Hershkovitz | System and Method for Operating an Electric Vehicle |
US7960857B2 (en) * | 2008-12-02 | 2011-06-14 | General Electric Company | System and method for vehicle based uninterruptable power supply |
CN101750584B (en) * | 2008-12-09 | 2013-01-02 | 易维特科技股份有限公司 | Method for real-time calculation of battery pack information for electric vehicle and electric vehicle using the method |
US8117857B2 (en) * | 2009-02-20 | 2012-02-21 | Tesla Motors, Inc. | Intelligent temperature control system for extending battery pack life |
US8457821B2 (en) * | 2009-04-07 | 2013-06-04 | Cisco Technology, Inc. | System and method for managing electric vehicle travel |
US20100138142A1 (en) * | 2009-07-17 | 2010-06-03 | Karen Pease | Vehicle Range Finder |
US20110082621A1 (en) * | 2009-10-02 | 2011-04-07 | Eric Berkobin | Method and system for predicting battery life based on vehicle battery, usage, and environmental data |
DE102009048821A1 (en) * | 2009-10-09 | 2011-04-14 | Conti Temic Microelectronic Gmbh | Method for determining range of vehicle, particularly electric vehicle, involves considering parameter during determination of range, which is obtained from information relating to scheduled or actually traveled driving route |
KR20110040220A (en) | 2009-10-13 | 2011-04-20 | 엘지전자 주식회사 | Battery control device and method of the car |
DE102009052853B4 (en) * | 2009-11-11 | 2017-07-20 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Method for estimating the range of a motor vehicle |
US8565948B2 (en) * | 2009-12-10 | 2013-10-22 | General Motors Llc | Energy consumption comparison method |
DE102010007851A1 (en) * | 2010-02-12 | 2010-12-02 | Daimler Ag | Method for continuously updating coverage of hybrid vehicle, involves determining actually available capacity of energy storage from operating parameters and/or operating conditions, and updating coverage based on capacity |
US8612075B2 (en) * | 2010-06-04 | 2013-12-17 | GM Global Technology Operations LLC | Optimizing use of solar photovoltaic-generated electricity in electric or hybrid vehicles |
CN101879866B (en) * | 2010-06-11 | 2012-06-27 | 奇瑞汽车股份有限公司 | Remaining mileage calculation method of electric vehicle |
US8932743B2 (en) * | 2010-09-30 | 2015-01-13 | GM Global Technology Operations LLC | Thermal management controls for a vehicle having a rechargeable energy storage system |
US9079507B2 (en) * | 2010-10-29 | 2015-07-14 | GM Global Technology Operations LLC | Electric driving range calculator |
US8433455B2 (en) * | 2010-10-29 | 2013-04-30 | GM Global Technology Operations LLC | Electrical vehicle range prediction |
US8589024B2 (en) * | 2010-11-29 | 2013-11-19 | GM Global Technology Operations LLC | Thermal conditioning of rechargeable energy storage systems of vehicles |
US20120143410A1 (en) * | 2010-12-01 | 2012-06-07 | Aptera Motors, Inc. | Interactive driver system for an electric vehicle |
US10421420B2 (en) * | 2011-01-06 | 2019-09-24 | Ford Global Technologies, Llc | Methods and apparatus for reporting state of charge in electric vehicles |
US20120185118A1 (en) * | 2011-01-19 | 2012-07-19 | GM Global Technology Operations LLC | System and method for optimizing a driving route for a vehicle |
US9451030B2 (en) * | 2011-02-18 | 2016-09-20 | Ford Global Technologies, Llc | Crowdsourced weather data collection and provision |
US8583304B2 (en) * | 2011-03-30 | 2013-11-12 | Honda Motor Co., Ltd. | System and method for precise state of charge management |
-
2011
- 2011-10-28 US US13/284,490 patent/US8831806B2/en active Active
-
2012
- 2012-09-18 DE DE102012216617.3A patent/DE102012216617B4/en not_active Expired - Fee Related
- 2012-10-24 KR KR1020120118693A patent/KR20130047595A/en not_active Ceased
- 2012-10-29 CN CN201210419369.7A patent/CN103085817B/en active Active
-
2015
- 2015-08-28 KR KR1020150121577A patent/KR20150106385A/en not_active Withdrawn
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102089178A (en) * | 2008-07-08 | 2011-06-08 | 西门子公司 | Adapter device and method for charging a vehicle |
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CN103085817A (en) | 2013-05-08 |
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KR20150106385A (en) | 2015-09-21 |
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